Data Analyst

Company Overview

Advanced MedTech Holdings (AMTH) is a pioneering fully integrated urology company headquartered in Singapore, operating across more than 100 countries worldwide. As a global market leader in stone lithotripsy, AMTH also hosts the largest online urology community. The company blends German engineering expertise with sophisticated digital and clinical innovations to enhance patient care and assist healthcare professionals throughout the care continuum. Its portfolio comprises prestigious brands including Dornier MedTech, WIKKON, Northern Litho, NextMed, and AMT Manufacturing. With a workforce exceeding 1,000 employees, AMTH is focused on expanding its influence through strategic investments in research, development, manufacturing, and partnerships, continually advancing endourology standards and shaping the future of medical technology. AMTH operates as a wholly owned subsidiary of Temasek and adheres to relevant data privacy regulations.

Role Summary

The Data Analyst role centers on transforming operational data into actionable intelligence that enhances the effectiveness of the company's AI products. The candidate will maintain the integrity and usability of data streams feeding these AI solutions and generate analytics that promote product adoption and performance. Working closely with cross-functional teams and reporting to the Senior Manager, Enterprise Digital Products, this role demands meticulous data quality control and insightful analytical reporting to influence business decisions and drive predictive capabilities.

Key Responsibilities

• Maintain high-quality, standardized, and analysis-ready operational data for AI-powered products.
• Collaborate with senior management and product leads to define data standards and classification systems, ensuring adherence throughout data pipelines.
• Identify and rectify data inconsistencies, anomalies, and integrity issues across diverse regional datasets to guarantee accurate and complete information supporting AI functionalities.
• Monitor and analyze product usage, adoption levels, and user engagement metrics to identify trends and challenges.
• Convert analytical findings into actionable recommendations aimed at enhancing user adoption and optimizing product performance.
• Create and sustain dashboards and reports for internal teams and stakeholders to facilitate data-driven decision-making.
• Operate within an agile, digitally driven global project environment.

Required Qualifications & Experience

• Bachelor’s degree in data science, statistics, computer science, engineering, or a related discipline.
• At least three years of professional experience in data analysis, product analytics, or related roles.
• Advanced skills in SQL, Python or equivalent programming languages, and BI/dashboard tools for data extraction, transformation, visualization, and insight generation.
• Hands-on experience managing data quality and classification within complex, multi-source data environments.
• Familiarity with AI and large language model (LLM) products and related data such as usage, evaluation, or classification datasets.
• Proven ability defining, measuring, and interpreting metrics related to product usage, engagement, and adoption.

Skills and Personal Attributes

• Strong analytical mindset with a talent for turning complicated, multi-source datasets into clear insights.
• Detail-oriented with a commitment to maintaining data precision and consistency.
• Intellectually curious about how data impacts AI product success, user adoption, and business performance.
• Collaborative team player who is open to learning, confident in constructive communication, and proactive in taking ownership of tasks.
• Excellent written communication skills in English, capable of tailoring messages for technical and non-technical audiences.
• Experienced in presenting data findings effectively across diverse stakeholder groups.